We are seeking a highly skilled and experienced Technical Data Analyst to join our growing team. This role requires a strong technical foundation in Oracle PL/SQL and Python, combined with expertise in data analysis tools and techniques. The ideal candidate will be a strategic thinker with a proven ability to lead and mentor a team of data analysts, driving data-driven insights and contributing to key business decisions. They will also be responsible for researching and evaluating emerging AI tools and techniques for potential application in data analysis projects.
Responsibilities:
- Design, develop, and maintain complex Oracle PL/SQL queries and procedures for data extraction, transformation, and loading (ETL) processes.
- Utilize Python scripting for data analysis, automation, and reporting.
- Perform in-depth data analysis to identify trends, patterns, and anomalies, providing actionable insights to improve business performance.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
- Develop and maintain data quality standards and ensure data integrity across various systems.
- Leverage data analysis and visualization tools (e.g., Tableau, Power BI, Qlik Sense) to create interactive dashboards and reports for business stakeholders.
- Stay up-to-date with the latest data analysis tools, techniques, and industry best practices, including AI/ML advancements.
- Research and evaluate emerging AI/ML tools and techniques for potential application in data analysis projects.
Must have:
- Hands-on work experience as Technical Data Analyst(not a business analyst) with Oracle PL/SQL & python programming to interpret analytical tasks and analyze the large datasets.
- Proficiency in Python scripting for data analysis and automation.
- Expertise in data visualization tools such as Tableau, Power BI, or Qlik Sense.
- Awareness and understanding of AI/ML tools and techniques in data analytics (e.g., machine learning algorithms, natural language processing, predictive modeling).
- Practical experience applying AI/ML techniques in data analysis projects is a plus.
- Strong analytical, problem-solving, communication, and interpersonal skills.
- Experience in the financial services industry.
Qualifications:
- 4-7 years of relevant experience in the Financial Service industry
- Intermediate level experience in Applications Development role
- Consistently demonstrates clear and concise written and verbal communication
- Demonstrated problem-solving and decision-making skills
- Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Education:
- Bachelor’s degree/University degree or equivalent experience
- Technical Data Analyst(not a business analyst) with hands-on PL/SQL experience to interpret analytical tasks and analyzing the large dataset
- Hands-on Oracle/SQL experience to develop performance optimized SQL script to fetch/analyze data from Oracle Database.
- Excellent understanding of business operation and analytics tools for effective analysis of data.
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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